Titlebook: Hyperdemocracy; Stephen Welch Book 2013 Palgrave Macmillan, a division of Nature America Inc. 2013 capital.democracy.Plato.social capital

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The Cognitive Dimension of Democracy from Plato to Mill,later chapters is a consideration of a developing mismatch between the causal and the constitutive conditions of democracy as each of them relate to knowledge, a possibility that has been made visible by the theoretical work of chapter 1. But in order to consider this, we need first to get an idea o

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Causal Theory: Progressivist and Skeptical Strands of Modernization Theory,. It drew on many of the themes I have explored in the preceding chapters, most of all the developmental theory of democracy outlined by Mill. Its mainstream has been progressivist both in its causal explanatory framework and in its alignment with the hopes for the improvement of democracy voiced by

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Cognitive Mobilization and Reflexive Modernization: Deriving the Theory of Hyperdemocracy,have been focusing throughout on what I have called the cognitive dimension of democracy, which has emerged gradually into prominence in democratic thought, having initially been an index of antidemocratic thought in the writings of Plato, with echoes in Rousseau. Since Tocqueville, though there in

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The Revival of Democracy: Deliberative Democracy and Postmodern Democracy versus Hyperdemocracy, with some recent contributions to democratic theory. While, broadly speaking, the approaches of social capital and post-democracy that I discussed in chapter 6 adopt a pessimistic analysis of democracy, even though they suggest remedies, the approaches I will discuss in the present chapter are more

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Conclusion: The Place and the Trajectory of Hyperdemocracy,weaving them into a new combination. By way of restatement and elaboration of the hyperdemocracy thesis, in this concluding chapter I will discuss its points of agreement and disagreement with three broadly distinguishable analytical and normative positions in democratic theory: the progressive, the

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observed a failure rate of approximately 4% for direct affine registrations of knee MRI without manual initialisation. Despite this, the problem of robust affine registration has not received much attention in recent years. With the increase in large medical image datasets, manual intervention is no